Janus Digital jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Janus Digital Janus Digital is an Agentic AI-native technology company with global operations based in Dubai, delivering Autonomous Intelligence for Real Assets.<br> Our enterprise-grade platform is the central autonomous operating system for intelligent buildings, deploying agentic AI agents that independently manage, optimise and operate real-world assets worldwide.<br> Built on 15+ years of foundational R&amp;D, 76 granted patents and over $100M invested, the platform is grounded in physics rather than prediction, and is proven across 10,000+ building datasets in 253 cities.<br> We are scaling across the UAE, Singapore, Turkey, Spain, the UK and 50+ markets globally.<br> About This Role Compliance Built Into the Machine: own the proof point that governance can be embedded directly into an AI-native operating model, not bolted on to satisfy investors.<br> Architect of the “ISO Agent”: translate ISO 9001 and ISO 27001 clauses into structured, automatable logic our engineering team can build into always-on agents — moving from periodic audits to continuous, real-time conformance.<br> Global Standards Owner: champion standards and governance at leadership level, building a framework that flexes across every jurisdiction as we scale toward 50+ markets.<br> The mandate to build a first-of-its-kind embedded compliance model, not inherit and maintain an existing one.<br> A seat at the table as standards champion, working directly with executive leadership and the Agentic AI engineering team.<br> Global exposure as Janus Digital scales across 50+ markets.<br> Competitive compensation with performance-based incentives.<br> Continuous professional development support, including sponsorship for relevant certifications.<br> What You'll Do Lead ISO 9001 (Quality) and ISO 27001 (Information Security) implementation end-to-end — gap analysis, risk framework, documentation and controls, internal audit cycles, management review and continual improvement.<br> Partner with our Agentic AI engineering team to turn ISO requirements into automated workflows that pull evidence, monitor controls and flag non-conformities directly from systems such as Monday.<br>com, Git/CI-CD and HR platforms.<br> Move Janus beyond point-in-time certification cycles toward continuous compliance, monitored daily by AI agents, with humans reviewing exceptions rather than chasing evidence.<br> Scale governance across new markets, standing up in-country compliance champions and adapting the core framework to local regimes (e.<br>g. UAE PDPL, Singapore frameworks, GDPR).<br> Extend the standards portfolio as needed — including ISO/IEC 42001, ISO 22301, SOC 2 and equivalents — to support assurance for institutional clients.<br> Own external relationships with certification and accreditation bodies where formal certification is required.<br> What We Are Looking For 8+ years leading ISO 9001 and/or ISO 27001 implementation and certification, including at least one greenfield build inside a high-growth technology, SaaS or fintech environment.<br> ISO 9001 and/or ISO 27001 Lead Auditor certification (or equivalent).<br> A track record operating compliance programs across multiple countries or legal entities simultaneously.<br> Direct experience introducing automation or AI-driven tooling into compliance work — continuous control monitoring, automated evidence collection, GRC platforms — and genuine comfort partnering with engineers.<br> Energised by building something from scratch inside a fast-scaling, resource-lean organisation, Nice to Have Exposure to ISO/IEC 42001 (AI Management Systems) or other emerging AI-governance frameworks.<br> Experience on both sides of the audit table, including time at a certification or accreditation body.<br> Additional standards: ISO 14001, ISO 45001, ISO 22301, ISO 20000, SOC 2, PCI DSS, NIST CSF.<br> Familiarity with regional regulatory frameworks relevant to our markets (UAE PDPL, Singapore data/financial frameworks, GDPR, DORA).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Reporting to the CMO, you will help build and run Janus Digital's global marketing engine.<br> The CMO owns strategy and direction; you are the clear number two, leading day-to-day delivery across the marketing remit, with genuine scope to shape how we work as the function scales.<br> Responsibilities: Product marketing &amp; GTM enablement: refine the master positioning framework and vertical value propositions; guard the brand across every market and channel; build competitive messaging and differentiation against named competitors; and equip Country Commercial Directors and partners with the full toolkit (ROI calculators, pitch decks, battlecards, objection-handling, case studies, leave-behinds).<br> Run win/loss analysis and a live competitive-intelligence matrix.<br> Growth &amp; demand generation: architect and deploy targeted multi-channel ABM against priority account lists; pioneer paid Answer Engine Optimization (AEO) and advertising within AI chatbots and assistants; manage hands-on paid media (complex paid LinkedIn architectures, Google SEM and paid search); build the always-on organic SEO/AEO engine; and shape executive roundtables and strategic event presences (for example GITEX, UKREiiF).<br> Social, content &amp; executive positioning (interim): help run our social channels, LinkedIn first; ghostwrite executive-voice posts for senior leaders; and direct an AI-assisted content engine (white papers, reports, blogs, long-form posts, carousels, video).<br> We expect to hire a dedicated social or comms lead as we scale; this is not a long-term comms role.<br> Agentic AI &amp; MarTech ecosystem: partner with the CMO and our internal AI Office to design and run an agentic AI marketing ecosystem across the full workflow.<br> Be the hands-on technical owner of a deliberately lean, AI-native stack (CRM, sales intelligence, visitor intent, a marketing data warehouse, dashboards, a code-first headless website, and consent tooling), orchestrated through Slack and Claude.<br> You can deploy, integrate, and evolve this independently, without an ops team.<br> Lead performance reporting and dashboards against the agreed attribution model, tracking marketing's contribution to pipeline and value created.<br> SUCCESS METRICS By Day 30: master the Janus Digital narrative, our outcome-based commercial model, and the brand message house; take operational ownership of the MarTech stack; align with the CMO and Country Commercial Directors on priorities; take over the LinkedIn channel and executive posting cadence; and launch integrated ABM outreach in Singapore.<br> By Day 60: stand up performance reporting against the agreed attribution model; materially advance the sales and partner enablement toolkit; and have the content calendar agreed with the CMO and in production.<br> By Day 90: launch integrated ABM outreach in the UK; have paid AEO/chatbot pilots, paid LinkedIn, and SEM live and generating data; feed organic SEO/AEO recommendations into the website roadmap; and record and report qualified pipeline contribution.<br> Format into sections and lists to improve readability Avoid targeting specific demographics e.<br>g. gender, nationality and age No need to add a link to apply (one is added automatically) Experience: 8 to 12 years of progressive B2B technology marketing, selling to C-suite decision makers through long, trust-led cycles (not self-serve or product-led SaaS).<br> You must have experience either marketing to PE, VC and institutional finance, or marketing data and intelligence services (for example, Bloomberg).<br> You will be an early marketing hire in a scaling company with a genuine builder mentality.<br> You will have practical experience running campaigns across Singapore and APAC, and the UK and Europe.<br> Familiarity with real estate, the built environment, or proptech is desirable but not essential, as is exposure to partner-led (B2B2B) go-to-market motions.<br> Technical skillsets: expert, hands-on experience running Google Ads, SEM, and complex LinkedIn paid architectures; prior exposure to AEO (paid and organic) is highly desirable; and, ideally, a track record of independently rolling out and configuring core stacks (CRM, automation, data and reporting), with the adaptability to run a lean, AI-native stack rather than a traditional enterprise suite.<br> AI literacy &amp; writing: hands-on experience embedding AI utilities across marketing workflows (beyond copywriting); sharp technical and commercial editing and narrative writing; and confident ghostwriting in an executive voice for senior-leader social channels.<br> Nice to have True Number Two Leadership: You will work hand-in-hand with the CMO as a critical partner.<br> While the CMO owns the high-level strategy, you will lead day-to-day delivery, enjoying genuine autonomy and the scope to define how the function scales across the full marketing remit.<br> A Defined Runway to CMO: This role begins as an individual contributor position with zero direct reports on day one, making it the perfect step up for an ambitious Senior Manager ready to transition into a major leadership function.<br> As the business expands, you will build out your own team Build a Future-Proof Skillset: We are explicitly rejecting bloated legacy tech suites to build an innovative, lean, agentic AI marketing ecosystem.<br> Operating here means you will pioneer uncharted acquisition frontiers—like paid and organic Answer Engine Optimization (AEO) and chatbot advertising—developing a rare, highly marketable expertise in AI-native growth methodologies.<br> High-Stakes Global Execution: Moving completely past traditional transactional SaaS playbooks, you will master complex, trust-led commercial storytelling targeted at C-suite economic buyers.<br> You will directly influence the global pipeline across institutional finance and enterprise markets in major international hubs, including Dubai, Singapore, and the UK.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Purpose of the role Janus Digital ™ is building its global marketing function from a small base, and this role is central to making it scale.<br> It exists to turn marketing strategy into shipped work at pace: producing and localising the assets each market needs, running the day-to-day marketing operations underneath them, and building the automation that makes the whole engine repeatable rather than manual.<br> The role is deliberately a hybrid.<br> It is not a traditional marketing executive and it is not an engineering role.<br> It is a marketer who is comfortable in tooling, automation and AI, who sits wholly within marketing and works closely with the AI Office, and who does the hands-on execution a fast-moving function needs done every week.<br> Reporting and location Reports to: Head of Marketing &amp; Growth.<br> Works closely with: the AI software engineering team, the product and technology teams, the country commercial teams, and the People and talent acquisition team.<br> Location: Dubai, UAE.<br> Office-based five days a week.<br> Standard hours are 09:00 to 18:00 with an hour for lunch.<br> What the role does 1.<br> Campaign and content delivery (roughly 40%) Produce and ship marketing assets: leave-behind and send-ahead packs, market landing pages, decks, social posts, short video cuts and email sends.<br> Own the production queue: version control, sign-off tracking, and getting work out of draft and into market.<br> Adapt core assets for local markets (Singapore and the UK first, then the next launch markets), working from the global source material rather than rebuilding it.<br> 2. Marketing operations and website (roughly 25%) Day-to-day website updates, publishing and QA across the Janus Digital sites, including the per-market pages.<br> Keep the martech stack clean and usable: CRM hygiene, list management, tracking, UTMs, analytics tags, form and consent plumbing.<br> Reporting: campaign and channel performance, pipeline contribution, and a weekly and monthly view that anyone can read without a briefing.<br> 3. Marketing engineering and AI (roughly 25%) Build and maintain the agentic workflows that make the campaign engine repeatable: content adaptation, list building and enrichment, reporting pulls, publishing pipelines.<br> Prototype rather than specify in the abstract.<br> Where a script, a query or an agent will answer the question faster than a vendor, build it.<br> Work with the AI Office engineering team to specify, test and deploy marketing agentic.<br> Write clear requirements, run the testing, and own the marketing side of every build through to live.<br> 4. Events and programme support (roughly 10%) Practical support on roundtables, webinars, other events and marketing activations and programmes: invite tracking, collateral production, print and supplier coordination, and on-the-day logistics, working with country office managers where appropriate.<br> Support the internship and certification programmes as they stand up, including onboarding and buddying incoming interns.<br> What we are looking for MUST-HAVES Genuine interest in marketing as a craft, not just as technology.<br> This is a marketing role.<br> Fluent, confident use of AI tools (for example Claude, Claude Code, Claude Design, ChatGPT and Codex).<br> Able to show work built with them, and the demonstrable learnings that came out of it.<br> Project management skills and highly organised: clear written updates, dependencies tracked, nothing dropped silently.<br> Strong written English and a sharp eye for detail in published work.<br> Comfortable in a small, fast-moving team where plans change.<br> NICE-TO-HAVES 2 – 4 years of B2B marketing experience, ideally in technology, technology services, real estate, infrastructure or financial services.<br> Comfort with code: some Python, JavaScript or similar.<br> Self-taught counts.<br> A computer science degree is not required and an engineering background is not what we are hiring for.<br> Hands-on familiarity with a CMS, a CRM and an analytics platform in a working environment rather than a course.<br> Data handling: spreadsheets to a genuinely useful standard.<br> SQL is a bonus.<br> Basic video, design or motion skills (Canva, Premiere, Figma or similar).<br> How the role will be measured Marketing output shipped: volume, quality, speed from brief to published, and the commercial impact of the work.<br> Recurring manual tasks removed, and hours returned to the function.<br> Data quality in the CRM and reliability of the reporting.<br> Event and launch delivery on date and on standard, without escalation.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Janus DigitalJanus Digital is the agentic AI platform that runs the world's real assets.<br> Based in the UAE with global operations, our enterprise platform acts as the central operating system for intelligent buildings, and we earn only on the additional value we create.<br>Buildings account for nearly 40% of global energy consumption and carbon emissions, yet most are still run by fragmented systems that react to problems instead of preventing them.<br> We exist to change that, proving that AI for Good is also good business.<br>Unlike language models that can guess, our platform is grounded in physics: thermodynamics, pressure dynamics, energy conservation, and fluid mechanics.<br> It builds a live, millimetre-accurate picture of every structure, monitors how energy, water, and air move through every system in real time, anticipates maintenance weeks ahead, and makes thousands of autonomous micro-adjustments around the clock.<br> It calculates; it does not guess.<br>The technology is not new, it is battle-hardened: development began in 2009 and has matured through four generations of real-world deployment, built on 15+ years of foundational R&amp;D, 76 granted patents, and over $100M invested.<br> The platform is proven across 10,000+ building datasets in 253 cities, trusted by Fortune Global 500 companies, sovereign wealth funds, and premium hospitality brands, spanning hospitals, airports, malls, theme parks, power grids, and manufacturing.<br> Typical outcomes include around 29% energy savings, 99% equipment-risk detection before failure, and full deployment in 14 days with no phased rollout.<br> About this role This role sits within the AI Office, the team responsible for designing, building, and running Janus Digital’s AI platform and the engineering capability behind it.<br> Reporting to the Head of AI Office, the engineer joins a small, senior group working at the core of how the company applies artificial intelligence across its global operations.<br> We are looking for a full-stack AI engineer who combines hands-on software delivery with genuine platform depth—someone who has built and operated systems to a banking-grade standard and is fluent across modern cloud infrastructure, AWS in particular.<br> That background is central to the work: the AI Office ships production systems the wider organisation depends on, where reliability, security, and clean architecture are not optional.<br> The same instincts that keep banking and financial platforms dependable are exactly what this role demands.<br> As part of the AI Office, the engineer will own meaningful parts of the platform end to end—backend services, user-facing interfaces, identity and access, and the AI agent and integration layers—and will work alongside existing engineers and the CTO function on cloud deployment and reliability.<br> The objective is a platform engineered to a product standard: secure, scalable, observable, and built to evolve as the company and the field do.<br> This engineer is central to making that real.<br> What you'll do Build and own the product across the stack: backend services and APIs in Python and TypeScript; frontend interfaces in React (or equivalent) for web dashboards, administrative surfaces, and AI agent interaction layers.<br> Build cloud-native software on AWS (primary), and across the wider cloud ecosystem where relevant, that assumes it will run in a managed, containerized cluster environment.<br> Design and implement enterprise-grade authentication and authorization: SSO (SAML/OIDC), SCIM provisioning, RBAC, and fine-grained IAM.<br> Design the platform for multi-tenancy from the ground up: configuration isolation, provisioning flows, usage metering, and the operational tooling needed to run it reliably at scale.<br> Build and deploy production AI agents using MCP and streaming APIs; design multi-model orchestration across Claude, Gemini, and other models as the landscape evolves.<br> Contribute to and evolve the memory and knowledge architecture at the core of the platform—a structured, multi-graph, file-based system underpinning institutional intelligence across the company.<br> This is among the hardest and most consequential engineering problems on the platform.<br> Architect the platform as a composition of isolated, independently deployable microservices—each functional domain (finance tools, marketing stack, knowledge layer, agent runtime) a discrete service with well-defined APIs between them.<br> Competitive compensation with performance-based incentives tied to delivery quality and client outcomes.<br> A specialized domain-expert role at the absolute frontier of Agentic AI and autonomous building intelligence.<br> Hands-on engagement with prestigious, diverse real estate portfolios (commercial offices, hotels, malls, and mixed-use developments).<br> Direct collaboration with our global Head of AI team.<br> Clear career progression paths into senior consulting or regional delivery leadership roles.<br> Sponsorship and support for professional development, including certifications in building services and energy management.<br> What we're looking for 5+ years in a full-stack software engineering role, with shipped, production systems at scale—backend and frontend both visible in your GitHub history.<br> Direct experience building or operating banking, fintech, or comparable high-reliability, regulated software; you understand first-hand the reliability, security, and compliance bar these environments demand.<br> Demonstrable multi-tenant and/or distributed-systems experience: tenant isolation, provisioning flows, and the operational tooling that keeps distributed systems running in production.<br> API design for external consumers: versioning, authentication, rate limiting, and documentation standards.<br> Security fundamentals: zero-trust principles, data isolation, audit logging, DLP—security as a design constraint, not a post-launch checkbox.<br> Fluent with agentic development tooling—Claude Code, Codex, and CLI-based AI workflows—used with discipline and judgment, not as a substitute for engineering thinking.<br> Active GitHub profile mandatory—applications without a demonstrable commit history will not be considered.<br> Nice to have Broad, hands-on cloud experience: AWS (primary), with working knowledge across the wider cloud ecosystem (GCP/Azure).<br> You architect cloud-native systems, not just deploy to a single VM.<br> Containerization and cloud-native deployment in production: Docker and Kubernetes; you write software that assumes it will run in a managed cluster environment.<br> Strong Python and TypeScript; React or an equivalent modern frontend framework; genuine comfort moving between layers of the stack.<br> Enterprise identity and access management implemented in production—SSO (SAML/OIDC), SCIM, RBAC, Okta or Azure AD—not just read about.<br> AI/LLM integration: MCP server development, function calling, streaming APIs, and multi-model orchestration.<br> Experience with core banking, payments, or other regulated financial systems (transaction integrity, settlement, KYC/AML data flows, and similar).<br> Vertex AI / Google AI Studio / Claude API / Gemini Enterprise.<br> Slack Apps (Bolt Framework, Block Kit) and Google Workspace integrations.<br> Agent memory patterns, structured knowledge graphs, or evolving AI context-management architectures.<br> Regional compliance experience (GDPR, Singapore PDPA, UAE data protection frameworks).<br> Familiarity with Terraform or equivalent IaC tooling (ownership sits with the infrastructure team, but fluency helps).<br> Go or Rust for performance-critical components.<br> Experience taking an internal platform or product through significant scale or its first external users.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Reporting to the CMO, you will help build and run Janus Digital's global marketing engine.<br> The CMO owns strategy and direction; you are the clear number two, leading day-to-day delivery across the marketing remit, with genuine scope to shape how we work as the function scales.<br> Responsibilities: Product marketing &amp; GTM enablement: refine the master positioning framework and vertical value propositions; guard the brand across every market and channel; build competitive messaging and differentiation against named competitors; and equip Country Commercial Directors and partners with the full toolkit (ROI calculators, pitch decks, battlecards, objection-handling, case studies, leave-behinds).<br> Run win/loss analysis and a live competitive-intelligence matrix.<br> Growth &amp; demand generation: architect and deploy targeted multi-channel ABM against priority account lists; pioneer paid Answer Engine Optimization (AEO) and advertising within AI chatbots and assistants; manage hands-on paid media (complex paid LinkedIn architectures, Google SEM and paid search); build the always-on organic SEO/AEO engine; and shape executive roundtables and strategic event presences (for example GITEX, UKREiiF).<br> Social, content &amp; executive positioning (interim): help run our social channels, LinkedIn first; ghostwrite executive-voice posts for senior leaders; and direct an AI-assisted content engine (white papers, reports, blogs, long-form posts, carousels, video).<br> We expect to hire a dedicated social or comms lead as we scale; this is not a long-term comms role.<br> Agentic AI &amp; MarTech ecosystem: partner with the CMO and our internal AI Office to design and run an agentic AI marketing ecosystem across the full workflow.<br> Be the hands-on technical owner of a deliberately lean, AI-native stack (CRM, sales intelligence, visitor intent, a marketing data warehouse, dashboards, a code-first headless website, and consent tooling), orchestrated through Slack and Claude.<br> You can deploy, integrate, and evolve this independently, without an ops team.<br> Lead performance reporting and dashboards against the agreed attribution model, tracking marketing's contribution to pipeline and value created.<br> SUCCESS METRICS By Day 30: master the Janus Digital narrative, our outcome-based commercial model, and the brand message house; take operational ownership of the MarTech stack; align with the CMO and Country Commercial Directors on priorities; take over the LinkedIn channel and executive posting cadence; and launch integrated ABM outreach in Singapore.<br> By Day 60: stand up performance reporting against the agreed attribution model; materially advance the sales and partner enablement toolkit; and have the content calendar agreed with the CMO and in production.<br> By Day 90: launch integrated ABM outreach in the UK; have paid AEO/chatbot pilots, paid LinkedIn, and SEM live and generating data; feed organic SEO/AEO recommendations into the website roadmap; and record and report qualified pipeline contribution.<br> Format into sections and lists to improve readability Avoid targeting specific demographics e.<br>g. gender, nationality and age No need to add a link to apply (one is added automatically) Experience: 8 to 12 years of progressive B2B technology marketing, selling to C-suite decision makers through long, trust-led cycles (not self-serve or product-led SaaS).<br> You must have experience either marketing to PE, VC and institutional finance, or marketing data and intelligence services (for example, Bloomberg).<br> You will be an early marketing hire in a scaling company with a genuine builder mentality.<br> You will have practical experience running campaigns across Singapore and APAC, and the UK and Europe.<br> Familiarity with real estate, the built environment, or proptech is desirable but not essential, as is exposure to partner-led (B2B2B) go-to-market motions.<br> Technical skillsets: expert, hands-on experience running Google Ads, SEM, and complex LinkedIn paid architectures; prior exposure to AEO (paid and organic) is highly desirable; and, ideally, a track record of independently rolling out and configuring core stacks (CRM, automation, data and reporting), with the adaptability to run a lean, AI-native stack rather than a traditional enterprise suite.<br> AI literacy &amp; writing: hands-on experience embedding AI utilities across marketing workflows (beyond copywriting); sharp technical and commercial editing and narrative writing; and confident ghostwriting in an executive voice for senior-leader social channels.<br> Nice to have True Number Two Leadership: You will work hand-in-hand with the CMO as a critical partner.<br> While the CMO owns the high-level strategy, you will lead day-to-day delivery, enjoying genuine autonomy and the scope to define how the function scales across the full marketing remit.<br> A Defined Runway to CMO: This role begins as an individual contributor position with zero direct reports on day one, making it the perfect step up for an ambitious Senior Manager ready to transition into a major leadership function.<br> As the business expands, you will build out your own team Build a Future-Proof Skillset: We are explicitly rejecting bloated legacy tech suites to build an innovative, lean, agentic AI marketing ecosystem.<br> Operating here means you will pioneer uncharted acquisition frontiers—like paid and organic Answer Engine Optimization (AEO) and chatbot advertising—developing a rare, highly marketable expertise in AI-native growth methodologies.<br> High-Stakes Global Execution: Moving completely past traditional transactional SaaS playbooks, you will master complex, trust-led commercial storytelling targeted at C-suite economic buyers.<br> You will directly influence the global pipeline across institutional finance and enterprise markets in major international hubs, including Dubai, Singapore, and the UK.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Reporting to the CMO, you will help build and run Janus Digital's global marketing engine.<br> The CMO owns strategy and direction; you are the clear number two, leading day-to-day delivery across the marketing remit, with genuine scope to shape how we work as the function scales.<br> Responsibilities: Product marketing &amp; GTM enablement: refine the master positioning framework and vertical value propositions; guard the brand across every market and channel; build competitive messaging and differentiation against named competitors; and equip Country Commercial Directors and partners with the full toolkit (ROI calculators, pitch decks, battlecards, objection-handling, case studies, leave-behinds).<br> Run win/loss analysis and a live competitive-intelligence matrix.<br> Growth &amp; demand generation: architect and deploy targeted multi-channel ABM against priority account lists; pioneer paid Answer Engine Optimization (AEO) and advertising within AI chatbots and assistants; manage hands-on paid media (complex paid LinkedIn architectures, Google SEM and paid search); build the always-on organic SEO/AEO engine; and shape executive roundtables and strategic event presences (for example GITEX, UKREiiF).<br> Social, content &amp; executive positioning (interim): help run our social channels, LinkedIn first; ghostwrite executive-voice posts for senior leaders; and direct an AI-assisted content engine (white papers, reports, blogs, long-form posts, carousels, video).<br> We expect to hire a dedicated social or comms lead as we scale; this is not a long-term comms role.<br> Agentic AI &amp; MarTech ecosystem: partner with the CMO and our internal AI Office to design and run an agentic AI marketing ecosystem across the full workflow.<br> Be the hands-on technical owner of a deliberately lean, AI-native stack (CRM, sales intelligence, visitor intent, a marketing data warehouse, dashboards, a code-first headless website, and consent tooling), orchestrated through Slack and Claude.<br> You can deploy, integrate, and evolve this independently, without an ops team.<br> Lead performance reporting and dashboards against the agreed attribution model, tracking marketing's contribution to pipeline and value created.<br> SUCCESS METRICS By Day 30: master the Janus Digital narrative, our outcome-based commercial model, and the brand message house; take operational ownership of the MarTech stack; align with the CMO and Country Commercial Directors on priorities; take over the LinkedIn channel and executive posting cadence; and launch integrated ABM outreach in Singapore.<br> By Day 60: stand up performance reporting against the agreed attribution model; materially advance the sales and partner enablement toolkit; and have the content calendar agreed with the CMO and in production.<br> By Day 90: launch integrated ABM outreach in the UK; have paid AEO/chatbot pilots, paid LinkedIn, and SEM live and generating data; feed organic SEO/AEO recommendations into the website roadmap; and record and report qualified pipeline contribution.<br> Experience: 8 to 12 years of progressive B2B technology marketing, selling to C-suite decision makers through long, trust-led cycles (not self-serve or product-led SaaS).<br> You must have experience either marketing to PE, VC and institutional finance, or marketing data and intelligence services (for example, Bloomberg).<br> You will be an early marketing hire in a scaling company with a genuine builder mentality.<br> You will have practical experience running campaigns across Singapore and APAC, and the UK and Europe.<br> Familiarity with real estate, the built environment, or proptech is desirable but not essential, as is exposure to partner-led (B2B2B) go-to-market motions.<br> Technical skillsets: expert, hands-on experience running Google Ads, SEM, and complex LinkedIn paid architectures; prior exposure to AEO (paid and organic) is highly desirable; and, ideally, a track record of independently rolling out and configuring core stacks (CRM, automation, data and reporting), with the adaptability to run a lean, AI-native stack rather than a traditional enterprise suite.<br> AI literacy &amp; writing: hands-on experience embedding AI utilities across marketing workflows (beyond copywriting); sharp technical and commercial editing and narrative writing; and confident ghostwriting in an executive voice for senior-leader social channels.<br> Nice to have True Number Two Leadership: You will work hand-in-hand with the CMO as a critical partner.<br> While the CMO owns the high-level strategy, you will lead day-to-day delivery, enjoying genuine autonomy and the scope to define how the function scales across the full marketing remit.<br> A Defined Runway to CMO: This role begins as an individual contributor position with zero direct reports on day one, making it the perfect step up for an ambitious Senior Manager ready to transition into a major leadership function.<br> As the business expands, you will build out your own team Build a Future-Proof Skillset: We are explicitly rejecting bloated legacy tech suites to build an innovative, lean, agentic AI marketing ecosystem.<br> Operating here means you will pioneer uncharted acquisition frontiers—like paid and organic Answer Engine Optimization (AEO) and chatbot advertising—developing a rare, highly marketable expertise in AI-native growth methodologies.<br> High-Stakes Global Execution: Moving completely past traditional transactional SaaS playbooks, you will master complex, trust-led commercial storytelling targeted at C-suite economic buyers.<br> You will directly influence the global pipeline across institutional finance and enterprise markets in major international hubs, including Dubai, Singapore, and the UK.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Janus DigitalJanus Digital is the agentic AI platform that runs the world's real assets.<br> Based in the UAE with global operations, our enterprise platform acts as the central operating system for intelligent buildings, and we earn only on the additional value we create.<br>Buildings account for nearly 40% of global energy consumption and carbon emissions, yet most are still run by fragmented systems that react to problems instead of preventing them.<br> We exist to change that, proving that AI for Good is also good business.<br>Unlike language models that can guess, our platform is grounded in physics: thermodynamics, pressure dynamics, energy conservation, and fluid mechanics.<br> It builds a live, millimetre-accurate picture of every structure, monitors how energy, water, and air move through every system in real time, anticipates maintenance weeks ahead, and makes thousands of autonomous micro-adjustments around the clock.<br> It calculates; it does not guess.<br>The technology is not new, it is battle-hardened: development began in 2009 and has matured through four generations of real-world deployment, built on 15+ years of foundational R&amp;D, 76 granted patents, and over $100M invested.<br> The platform is proven across 10,000+ building datasets in 253 cities, trusted by Fortune Global 500 companies, sovereign wealth funds, and premium hospitality brands, spanning hospitals, airports, malls, theme parks, power grids, and manufacturing.<br> Typical outcomes include around 29% energy savings, 99% equipment-risk detection before failure, and full deployment in 14 days with no phased rollout.<br> About this role This role sits within the AI Office, the team responsible for designing, building, and running Janus Digital’s AI platform and the engineering capability behind it.<br> Reporting to the Head of AI Office, the engineer joins a small, senior group working at the core of how the company applies artificial intelligence across its global operations.<br> We are looking for a full-stack AI engineer who combines hands-on software delivery with genuine platform depth—someone who has built and operated systems to a banking-grade standard and is fluent across modern cloud infrastructure, AWS in particular.<br> That background is central to the work: the AI Office ships production systems the wider organisation depends on, where reliability, security, and clean architecture are not optional.<br> The same instincts that keep banking and financial platforms dependable are exactly what this role demands.<br> As part of the AI Office, the engineer will own meaningful parts of the platform end to end—backend services, user-facing interfaces, identity and access, and the AI agent and integration layers—and will work alongside existing engineers and the CTO function on cloud deployment and reliability.<br> The objective is a platform engineered to a product standard: secure, scalable, observable, and built to evolve as the company and the field do.<br> This engineer is central to making that real.<br> What you'll do Build and own the product across the stack: backend services and APIs in Python and TypeScript; frontend interfaces in React (or equivalent) for web dashboards, administrative surfaces, and AI agent interaction layers.<br> Build cloud-native software on AWS (primary), and across the wider cloud ecosystem where relevant, that assumes it will run in a managed, containerized cluster environment.<br> Design and implement enterprise-grade authentication and authorization: SSO (SAML/OIDC), SCIM provisioning, RBAC, and fine-grained IAM.<br> Design the platform for multi-tenancy from the ground up: configuration isolation, provisioning flows, usage metering, and the operational tooling needed to run it reliably at scale.<br> Build and deploy production AI agents using MCP and streaming APIs; design multi-model orchestration across Claude, Gemini, and other models as the landscape evolves.<br> Contribute to and evolve the memory and knowledge architecture at the core of the platform—a structured, multi-graph, file-based system underpinning institutional intelligence across the company.<br> This is among the hardest and most consequential engineering problems on the platform.<br> Architect the platform as a composition of isolated, independently deployable microservices—each functional domain (finance tools, marketing stack, knowledge layer, agent runtime) a discrete service with well-defined APIs between them.<br> Competitive compensation with performance-based incentives tied to delivery quality and client outcomes.<br> A specialized domain-expert role at the absolute frontier of Agentic AI and autonomous building intelligence.<br> Hands-on engagement with prestigious, diverse real estate portfolios (commercial offices, hotels, malls, and mixed-use developments).<br> Direct collaboration with our global Head of AI team.<br> Clear career progression paths into senior consulting or regional delivery leadership roles.<br> Sponsorship and support for professional development, including certifications in building services and energy management.<br> What we're looking for 5+ years in a full-stack software engineering role, with shipped, production systems at scale—backend and frontend both visible in your GitHub history.<br> Direct experience building or operating banking, fintech, or comparable high-reliability, regulated software; you understand first-hand the reliability, security, and compliance bar these environments demand.<br> Broad, hands-on cloud experience: AWS (primary), with working knowledge across the wider cloud ecosystem (GCP/Azure).<br> You architect cloud-native systems, not just deploy to a single VM.<br> Containerization and cloud-native deployment in production: Docker and Kubernetes; you write software that assumes it will run in a managed cluster environment.<br> Strong Python and TypeScript; React or an equivalent modern frontend framework; genuine comfort moving between layers of the stack.<br> Demonstrable multi-tenant and/or distributed-systems experience: tenant isolation, provisioning flows, and the operational tooling that keeps distributed systems running in production.<br> Enterprise identity and access management implemented in production—SSO (SAML/OIDC), SCIM, RBAC, Okta or Azure AD—not just read about.<br> API design for external consumers: versioning, authentication, rate limiting, and documentation standards.<br> Security fundamentals: zero-trust principles, data isolation, audit logging, DLP—security as a design constraint, not a post-launch checkbox.<br> AI/LLM integration: MCP server development, function calling, streaming APIs, and multi-model orchestration.<br> Fluent with agentic development tooling—Claude Code, Codex, and CLI-based AI workflows—used with discipline and judgment, not as a substitute for engineering thinking.<br> Active GitHub profile mandatory—applications without a demonstrable commit history will not be considered.<br> Nice to have Experience with core banking, payments, or other regulated financial systems (transaction integrity, settlement, KYC/AML data flows, and similar).<br> Vertex AI / Google AI Studio / Claude API / Gemini Enterprise.<br> Slack Apps (Bolt Framework, Block Kit) and Google Workspace integrations.<br> Agent memory patterns, structured knowledge graphs, or evolving AI context-management architectures.<br> Regional compliance experience (GDPR, Singapore PDPA, UAE data protection frameworks).<br> Familiarity with Terraform or equivalent IaC tooling (ownership sits with the infrastructure team, but fluency helps).<br> Go or Rust for performance-critical components.<br> Experience taking an internal platform or product through significant scale or its first external users.<br></span> </div>

<strong>About the role:<br><br></strong><strong>About Janus Digital</strong> Janus Digital ™ is the agentic AI platform that runs the world's real assets. We earn only on the additional value we create. Built on 15+ years of R&amp;D, 76 granted patents and US$100M+ invested, the platform is live across 10,000+ building datasets in 253 cities with Fortune Global 500 owners, sovereign funds and hospitality groups.<br><br><strong>Strategic Context</strong> Every building we make intelligent starts with accurate information about how it is built. High-detail BIM models, and MEP models in particular, are the foundation for digital twins, predictive maintenance and autonomous building operations. Janus Digital is now building its own AI BIM platform to create, check and enrich these models far faster than traditional workflows allow.<br><br>This role sits at the centre of that effort. You will deliver production-grade MEP and commercial BIM models using AI tooling to speed up every step, while giving the Chief Platform/Product Officer a practitioner's view of the AI-for-AEC market and the requirements our own platform must meet.<br><br><strong>Position Overview</strong> We seek an experienced BIM Modeller specialising in MEP and commercial buildings, reporting directly to the Chief Platform/Product Officer. This hands-on role combines high-detail model delivery with structured market research into AI tooling and platforms, directly guiding the build of the Janus AI BIM platform.<br><br>Your time will split roughly 60% production BIM and 40% platform intelligence. You will model to LOD 350-400 under ISO 19650, measure the time AI and automation save against manual baselines, evaluate emerging AI tools on real project data, and translate real modelling workflows into product requirements, datasets and acceptance criteria.<br><br><strong>Key Responsibilities<br><br></strong><ul><li>Produce federated MEP models (HVAC, plumbing and drainage, fire protection, electrical, ELV and low-current systems) for offices, retail, hospitality, mixed-use and data-centre projects</li><li>Model to LOD 350-400, including fabrication-ready ductwork, pipework, containment, hangers and supports where required</li><li>Build and maintain parametric Revit families, shared parameters and project templates aligned to Janus Digital standards</li><li>Run clash detection in Navisworks and BIM Collaborate Pro across architectural, structural and MEP models</li><li>Apply AI and automation across the modelling workflow: auto-routing, family generation, drawing and sheet automation, model checking and scan-to-BIM</li><li>Write and maintain Dynamo and pyRevit/Python scripts, using AI coding assistants (Claude, ChatGPT, Copilot) to build them faster</li><li>Map the AI-for-AEC landscape and run structured, hands-on evaluations of shortlisted tools on real Janus Digital project data</li><li>Work closely with the Chief Platform/Product Officer to shape platform priorities from a practitioner's perspective</li><li>Apply ISO 19650 information management: BEPs, MIDPs/TIDPs, naming conventions and CDE workflows<br><br></li></ul><strong>Requirements<br><br></strong><strong>Experience<br><br></strong><ul><li>6+ years of BIM modelling, with at least 4 years focused on MEP in commercial projects</li><li>Portfolio of coordinated LOD 350+ MEP models on at least 3 delivered commercial projects</li><li>Proven delivery on ISO 19650 projects, including multi-disciplinary clash coordination</li><li>Demonstrable use of scripting or AI tools to speed up modelling, with before-and-after evidence<br><br></li></ul><strong>Technical Expertise<br><br></strong><ul><li>Expert in Autodesk Revit (MEP); proficient in AutoCAD</li><li>Navisworks Manage, clash detection and BCF issue tracking</li><li>Autodesk Construction Cloud / BIM 360 and BIM Collaborate Pro</li><li>ISO 19650, BEP/MIDP/TIDP, Uniclass or OmniClass classification and IFC export</li><li>Dynamo scripting and working knowledge of Python</li><li>Daily use of LLM assistants for scripting, documentation and research<br><br></li></ul><strong>Core Competencies<br><br></strong><ul><li>Precision: models are right first time, with clashes and data errors caught before issue</li><li>Builder mindset: automates any task done more than twice and shares the tool with the team</li><li>Critical evaluation: tests AI vendor claims on real data and reports results without hype</li><li>Product thinking: turns modelling pain points into clear problem statements the product team can build against<br><br></li></ul><strong>Preferred Qualifications<br><br></strong><ul><li>pyRevit, Revit API (C#), Grasshopper / Rhino.Inside or Autodesk Platform Services (APS) APIs</li><li>Hands-on experience with AI-for-AEC tools in generative design, auto-routing, drawing automation, AI model checking or scan-to-BIM</li><li>Point cloud import and modelling to scan</li><li>Fabrication parts (Revit Fabrication / MEP Fabrication) and data-centre or healthcare services experience</li><li>Solibri, Revizto or BIMcollab; COBie, IDS and bSDD; Dubai Municipality BIM e-submission experience</li><li>Prior work at a software, PropTech or construction-tech company, or on an internal digital tools team</li></ul>